Market-Based Coordination of Thermostatically Controlled Loads-Part II: Unknown Parameters and Case Studies

• Published in: IEEE transactions on power systems Vol. 31; no. 2; pp. 1179 - 1187
• Main Authors: Sen Li, Wei Zhang, Jianming Lian, Kalsi, Karanjit
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Allocations; Atmospheric modeling; Clearing; Climatology; Demand Reponse; Demand response; Design engineering; ENERGY PLANNING, POLICY, AND ECONOMY; Estimation; joint state-parameter estimation; Joints; Kalman filters; Load modeling; Markets; Mathematical model; MATHEMATICS AND COMPUTING; Maximization; Mechanism Design; Strategy; Temperature measurement; thermostatically controlled loads; Weather
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/TPWRS.2015.2432060

This two-part paper considers the coordination of a population of thermostatically controlled loads (TCLs) with unknown parameters to achieve group objectives. The problem involves designing the bidding and market clearing strategy to motivate self-interested users to realize efficient energy allocation subject to a peak energy constraint. The companion paper (Part I) formulates the problem and proposes a load coordination framework using the mechanism design approach. To address the unknown parameters, Part II of this paper presents a joint state and parameter estimation framework based on the expectation maximization algorithm. The overall framework is then validated using real-world weather data and price data, and is compared with other approaches in terms of aggregated load response. Simulation results indicate that our coordination framework can effectively improve the operational efficiency of the distribution system and reduce power congestion at key times.